A multi-agent deep reinforcement learning-based “Octopus” cooperative load frequency control for an interconnected grid with various renewable units

•A data-driven “octopus” cooperative load frequency control (OC-LFC) method for an interconnected power system is proposed.•An TED-MADDPG algorithm is proposed which improves the robustness of the framework.•The controller and power distributor in each area are regarded as independent agents.•The pr...

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Veröffentlicht in:	Sustainable energy technologies and assessments Jg. 51; S. 101899
Hauptverfasser:	Li, Jiawen, Yu, Tao, Cui, Haoyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2022
Schlagworte:	Distributed multi-agent deep deterministic policy gradient algorithm Edge-cloud cooperation Interconnected power system Performance-based frequency regulation market “Octopus” cooperative load frequency control method “Octopus” cooperative load frequency control method Performance-based frequency regulation market Distributed multi-agent deep deterministic policy gradient algorithm Interconnected power system Edge-cloud cooperation
ISSN:	2213-1388
Online-Zugang:	Volltext
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